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M. Krell · SciRah

Researcher profile · Semantic Scholar

M. Krell

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M. Krell — researcher profile on SciRah

h-index: 15
Works: 43
Citations: 781

Most-cited papers

CROSS-CONTAMINATION: ACCELERATING LARGE LANGUAGE MODELS WITHOUT IMPACTING PERFORMANCE
M. Krell, Matej Kosec
2022130 citations
Semantic Scholar
Rotational data augmentation for electroencephalographic data
M. Krell, Su Kyoung Kim
2017Annual International Conference of the IEEE Engineering in Medicine and Biology Society77 citations
Semantic Scholar
An Adaptive Spatial Filter for User-Independent Single Trial Detection of Event-Related Potentials
Hendrik Woehrle, M. Krell, S. Straube, Su Kyoung Kim +2 more
2015IEEE Transactions on Biomedical Engineering68 citations
Semantic Scholar
pySPACE—a signal processing and classification environment in Python
M. Krell, S. Straube, A. Seeland, Hendrik Wöhrle +4 more
2013Front. Neuroinform.59 citations Open access
Semantic Scholar
How to evaluate an agent's behavior to infrequent events?—Reliable performance estimation insensitive to class distribution
S. Straube, M. Krell
2014Frontiers in Computational Neuroscience57 citations Open access
Semantic Scholar
On the Applicability of Brain Reading for Predictive Human-Machine Interfaces in Robotics
E. Kirchner, Su Kyoung Kim, S. Straube, A. Seeland +4 more
2013PLoS ONE46 citations Open access
Semantic Scholar
Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region
Tim Tiedemann, T. Vögele, M. Krell, J. Metzen +1 more
2015AAAI Workshop: AI for Transportation31 citations
Semantic Scholar
Benchmarking the Performance of Accelerators on National Cyberinfrastructure Resources for Artificial Intelligence / Machine Learning Workloads
Abhinand Nasari, Hieu Hanh Le, Richard Lawrence, Zhenhua He +8 more
2022Practice and Experience in Advanced Research Computing26 citations
Semantic Scholar
Data Augmentation for Brain-Computer Interfaces: Analysis on Event-Related Potentials Data
M. Krell, A. Seeland, Su Kyoung Kim
2018arXiv.org25 citations
Semantic Scholar
Recupera-Reha : Exoskeleton Technology with Integrated Biosignal Analysis for Sensorimotor Rehabilitation
E. Kirchner, Niels Will, Marc Simnofske, Luis M. Vaca Benitez +11 more
201624 citations
Semantic Scholar
Comparison of Sensor Selection Mechanisms for an ERP-Based Brain-Computer Interface
D. Feess, M. Krell, J. Metzen
2013PLoS ONE23 citations Open access
Semantic Scholar
Packing: Towards 2x NLP BERT Acceleration
Matej Kosec, Sheng-Yu Fu, M. Krell
2021arXiv.org22 citations
Semantic Scholar
A Capacity Scaling Law for Artificial Neural Networks
G. Friedland, M. Krell
2017arXiv.org19 citations
Semantic Scholar
Learning coupled dynamic models of underwater vehicles using Support Vector Regression
B. Wehbe, M. Krell
2017Oceans19 citations
Semantic Scholar
Classifier transfer with data selection strategies for online support vector machine classification with class imbalance
M. Krell, Nils Wilshusen, A. Seeland, Su Kyoung Kim
2017Journal of Neural Engineering15 citations Open access
Semantic Scholar
Learning magnetic field distortion compensation for robotic systems
Leif Christensen, M. Krell, F. Kirchner
2017IEEE/RJS International Conference on Intelligent RObots and Systems14 citations
Semantic Scholar
Online model identification for underwater vehicles through incremental support vector regression
B. Wehbe, Alexander Fabisch, M. Krell
2017IEEE/RJS International Conference on Intelligent RObots and Systems11 citations
Semantic Scholar
New one-class classifiers based on the origin separation approach
M. Krell, Hendrik Wöhrle
2015Pattern Recognition Letters11 citations
Semantic Scholar
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19
Sourabh Kulkarni, M. Krell, S. Nabarro, C. A. Moritz
2020ACM Journal on Emerging Technologies in Computing Systems10 citations Open access
Semantic Scholar
Memory and Processing Efficient Formula for Moving Variance Calculation in EEG and EMG Signal Processing
M. Krell, M. Tabie, Hendrik Wöhrle, E. Kirchner
2018International Congress on Neurotechnology, Electronics and Informatics10 citations Open access
Semantic Scholar
Generalizing, decoding, and optimizing support vector machine classification
M. Krell
2018arXiv.org9 citations
Semantic Scholar
A Practical Approach to Sizing Neural Networks
G. Friedland, M. Krell, A. Metere
2018arXiv.org9 citations Open access
Semantic Scholar
Balanced Relative Margin Machine - The missing piece between FDA and SVM classification
M. Krell, D. Feess, S. Straube
2014Pattern Recognition Letters9 citations
Semantic Scholar
Accelerating Simulation-based Inference with Emerging AI Hardware
Sourabh Kulkarni, Alexander Tsyplikhin, M. Krell, C. A. Moritz
2020International Conference on Rebooting Computing7 citations
Semantic Scholar
A Dataflow-based Mobile Brain Reading System on Chip with Supervised Online Calibration - For Usage without Acquisition of Training Data
Hendrik Wöhrle, Johannes Teiwes, M. Krell, E. Kirchner +1 more
2016International Congress on Neurotechnology, Electronics and Informatics7 citations Open access
Semantic Scholar
Accounting for Task-Difficulty in Active Multi-Task Robot Control Learning
Alexander Fabisch, J. Metzen, M. Krell, F. Kirchner
2015KI - Künstliche Intelligenz7 citations
Semantic Scholar
Empirical Comparison of Distributed Source Localization Methods for Single-Trial Detection of Movement Preparation
A. Seeland, M. Krell, S. Straube, E. Kirchner
2018Frontiers in Human Neuroscience6 citations Open access
Semantic Scholar
Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units
Hatem Helal, J. Firoz, Jenna A. Bilbrey, Henry W. Sprueill +9 more
2024Journal of Chemical Information and Modeling5 citations
Semantic Scholar
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry
Hatem Helal, J. Firoz, Jenna A. Bilbrey, M. Krell +4 more
2022arXiv.org5 citations Open access
Semantic Scholar
Backtransformation: a new representation of data processing chains with a scalar decision function
M. Krell, S. Straube
2015Advances in Data Analysis and Classification5 citations
Semantic Scholar
NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU
Edward H. Lee, M. Krell, Alexander Tsyplikhin, Victoria Rege +2 more
2021arXiv.org3 citations
Semantic Scholar
A First Step Towards Distribution Invariant Regression Metrics
M. Krell, B. Wehbe
2020arXiv.org3 citations
Semantic Scholar
Learning of Multi-Context Models for Autonomous Underwater Vehicles
B. Wehbe, Octavio Arriaga, M. Krell, F. Kirchner
2018IEEE/OES Autonomous Underwater Vehicles3 citations Open access
Semantic Scholar
raxDAWN: Circumventing Overfitting of the Adaptive xDAWN
M. Krell, Hendrik Wöhrle, A. Seeland
2015International Congress on Neurotechnology, Electronics and Informatics3 citations Open access
Semantic Scholar
OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation
Daniel Ma, G. Friedland, M. Krell
2021arXiv.org2 citations
Semantic Scholar
Field Studies with Multimedia Big Data: Opportunities and Challenges (Extended Ver
M. Krell, Julia Bernd, Yifan Li, Daniel Ma +4 more
2017arXiv.org2 citations
Semantic Scholar
Tuple Packing: Efficient Batching of Small Graphs in Graph Neural Networks
M. Krell, Manuel Lopez Roldan, S. Anand, Hatem Helal +1 more
2022arXiv.org1 citations Open access
Semantic Scholar
hyperSPACE : Automated Optimization of Complex Processing Pipelines for pySPACE
Torben Hansing, M. Krell, F. Kirchner
20161 citations
Semantic Scholar
Comparison of Data Selection Strategies for Online Support Vector Machine Classification
M. Krell, Nils Wilshusen, A. Ignat, Su Kyoung Kim
2015International Congress on Neurotechnology, Electronics and Informatics1 citations Open access
Semantic Scholar
Bayesian uncertainty quantification to identify population level vaccine hesitancy behaviours
D. J. Warne, A. Varghese, Aidan Brewster, Alexander P. Browning +6 more
2022medRxiv0 citations Open access
Semantic Scholar
NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU
Edward H. Lee, M. Krell, Alexander Tsyplikhin, Victoria Rege +2 more
20210 citations
Semantic Scholar
Heterogeneous Dataflow Hardware Accelerators for Machine Learning on Reconfigurable Hardware ?
Hendrik Woehrle, Johannes Teiwes, M. Krell, A. Seeland +2 more
20140 citations
Semantic Scholar
Python Driver Driver SDF 2 Feature Generation Feature Normalization Classification Dimensionality Reduction SDF 1 Filtering and Decimation Detrending PythonLibraries and Middleware Application
Hendrik Woehrle, Johannes Teiwes, M. Krell, E. Kirchner +2 more
20130 citations
Semantic Scholar

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